Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/95350
Title: Automatic Mood Tracking in Audio Music
Authors: Panda, Renato Eduardo Silva 
Orientador: Paiva, Rui Pedro Pinto de Carvalho e
Keywords: Classification; Mood; Music; Thayer; Tracking
Issue Date: Jul-2010
Place of publication or event: Coimbra, Portugal
Abstract: In this thesis, music emotion recognition is approached, having detection of mood changes over a song as the main focus. The first semester served entirely to gain knowledge on the area and a to produce an initial design. This strong theoretical knowledge was further developed during the second semester, serving as a starting point to build a music analysis Qt application, based on the Thayer's model of mood, using on Marsyas for feature extraction and libSVM library for classification and regression. Several experimental tests were run to study different approaches and the respective results.
Description: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
URI: http://hdl.handle.net/10316/95350
Rights: openAccess
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado

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